initial wastebin configuration

.env.example

@@ -43,3 +43,7 @@ CLOUDFLARE_ACCOUNT_TOKEN=v1.0-abcdef1234567890abcdef1234567890abcdef1234567890ab
 # The following variables specify instruction sets and configuration for the various models in SpongeChat.
 ## The value of the variable should correspond to the key of its' responding configuration in modelConstants.js.
 MODEL_LLM_PRESET=default
+
+# !! Pastebin
+
+WASTEBIN_HOST=https://localhost:8088

docker-compose.yml

@@ -18,6 +18,15 @@ services:
  - DFLY_snapshot_cron=*/30 * * * *
  volumes:
  - dragonflydata:/data
+ wastebin:
+ image: 'quxfoo/wastebin:latest'
+ environment:
+ - WASTEBIN_DATABASE_PATH=/data/state.db
+ volumes:
+ - wastebindata:/data
+ ports:
+ - "8088:8088"
 
 volumes:
  dragonflydata:
+ wastebindata:

src/commands/forget.js

@@ -1,4 +1,5 @@
 import { ModelInteractions } from "../util/models/index.js";
+import { fetch } from "undici";
 
 /** @type {import('./index.js').Command} */
 export default {
@@ -42,14 +43,21 @@ export default {
  if (length === 0) return await interaction.editReply({ content: toSay });
 
  try {
- await interaction?.editReply({
- content: toSay,
- files: [
- {
-  attachment: log,
- name: "context.md",
+ const request = fetch(
+ `${process.env.WASTEBIN_HOST}/`,
+ {
+ method: "POST",
+ headers: {
+ "Content-Type": "application/json",
  },
- ],
+ body: JSON.stringify({
+ "text": log,
+ "extension": "md",
+ }),
+ },
+ )
+ await interaction?.editReply({
+ content: `${toSay}\n\n${process.env.WASTEBIN_HOST}${(await request.json()).path}`,
  failIfNotExists: true,
  });